Estimation of Power Consumption of Each Application Caused by Device Lock Considering Software Dependency in Smartphones

Kurihara, Shun; Fukuda, Shinji; Oguchi, Masato; Yamaguch, Saneyasu

doi:10.1109/candar.2017.56

Cited by 3 publications

(5 citation statements)

References 14 publications

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“…The power consumption for each calculator was measured through the Android profiler tool, which is available via Android Studio. The Android Profiler tracks the application's real time data for the Android application CPU usage and other resources, including memory, network, and battery [34].…”

Section: Power Consumptionmentioning

confidence: 99%

TapCalculator: nonvisual touchscreen calculator for visually impaired people preliminary user study

Alnfiai

2021

J Multimodal User Interfaces

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TapCalculator is a novel, non-visual touchscreen calculator that uses simple gestures to represent digits and operations with the support of audio feedback and is designed specifically for visually impaired users. It enables users to do basic calculations without visually locating buttons on a screen or having to know braille or learning complex coding for digits. It uses a series of tapping and swiping to perform arithmetic operations. This paper lays the groundwork for devising, improving, and implementing intuitive, user-friendly application to meet the needs of individuals with visual impairments. This paper is supported by primary-source research conducted by the author, including a review of several touchscreen calculators, using a small sample of visually impaired users. Seven participants were asked to compare the TapCalculator to two other virtual calculators, BrailleTap and TalkBack. From this preliminary usability study, quantitative findings indicate that blind users enter digits and arithmetic operations on the TapCalculator faster and less power consumption than the others due to TapCalcultator's emphasis on directional gestures and allows users to tap with a maximum of 5 fingers. BrailleTap was shown to be more accurate than both TapCalculator and TalkBack, suggesting areas for improvement and further study. Through interviews with participants, qualitative results suggest that, for blind users attuned to braille, directional gestures are more accessible than locating the position of a touchscreen button. This paper suggests improvements to enhance the user experience of the TapCalculator, which is still in its infancy, and other virtual calculators for the visually impaired users.

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Section: Power Consumptionmentioning

confidence: 99%

TapCalculator: nonvisual touchscreen calculator for visually impaired people preliminary user study

Alnfiai

2021

J Multimodal User Interfaces

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“…Software Dependency of Power Consumption: The software dependency of power consumption is discussed in Refs. [4], [6], [7], [8], [25], [26]. The works of Refs.…”

Section: Static Estimation Of Power Consumptionmentioning

confidence: 99%

“…In the work of Ref. [7], the method of Ref. [4] was applied to WakeLock function and the method was evaluated with benchmark applications.…”

Section: Static Estimation Of Power Consumptionmentioning

confidence: 99%

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Estimation of Power Consumption of Each Application Considering Software Dependency in Android

Kurihara

Fukuda

Kamiyama

et al. 2019

Journal of Information Processing

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Some reports stated that the most important issue of smartphones is their large battery consumption. Information on the power consumption of each application is important for users and administrations of application distributing sites. Especially, information on power consumption of each application in the screen-off state is important because understanding the behavior of an application in the state is difficult. Naturally, the power consumption of a device increases and decreases by installing and uninstalling an application, respectively. However, the sizes of increase and decrease in power consumptions depend on the device. We think there are two types of dependencies, which are hardware and software dependencies. The hardware dependency is that the power consumption of an application depends on the hardware elements of the device. The software dependency is that the power consumption of an application depends on the other applications installed on the device. We then argue that consideration of these dependencies are essential for estimation of the power consumption of each application. In this paper, we focus on the software dependency and propose a method for estimating the size of increase and decrease in power consumptions of the device by installing and uninstalling an application considering software dependency. The proposed method monitors starts and ends of functions such as GPS usage and WakeLock, then estimates the parts of the power consumptions of each application separately. We estimate the GPS usage time and WakeLock time for evaluation of the proposed method and show that the proposed method can estimate these more accurately than the standard method of the Android operating system. Our evaluation demonstrated that the proposed method decreased the difference between the estimated and actual sizes of decreases in power consumption by 89% at most.

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“…In our previous works, we proposed methods for estimating power consumption of each application [23], [24], [25] and methods for accelerating the speeds of tests and monitoring application behaviors [26], [27], [28], [29]. These works presented the detailed discussion on power consumption and its estimation on smartphones.…”

Section: Related Workmentioning

confidence: 99%

BET Estimation on Power Saving by Intermittent Disabling Network Interface on Android

Murakami

Kamiyama

Fukuda

et al. 2019

Journal of Information Processing

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The large power consumption of smartphones is an important issue. Smartphone operating systems such as Android have a function that invokes an application without user's operation. That is, an application runs and may communicate using its network interface in the screen-off state without user's operation. This behavior consumes large batteries. Temporarily disabling its network interface is one of the promising methods for reducing power consumption in the screen-off state. Less power is consumed while its network interface is disabled, but processes of disabling and enabling its network interface consume battery. Therefore, it is necessary to keep the interface disabled for a sufficiently long period such that the power consumption decreased by disabling the network interface exceeds the power consumption increased by the transition process of disabling and enabling the interface. In this paper, we focus on a method of reducing power consumption in the screen-off state by repeating to disable and enable the network interface and discuss estimation of its Break-Even Time (BET) with which the sizes of increased and decreased power consumption are the same. We then propose two methods for estimating BET. One method estimates BET by integrating the electric current. The other method estimates it according to the average electric current. We evaluate the methods with practical applications and Android devices and show that the method based on the average electric current can estimate BET accurately. In the case of our experiments, the difference between the actual and estimated BETs was less than 16.4%.

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Estimation of Power Consumption of Each Application Caused by Device Lock Considering Software Dependency in Smartphones

Cited by 3 publications

References 14 publications

TapCalculator: nonvisual touchscreen calculator for visually impaired people preliminary user study

TapCalculator: nonvisual touchscreen calculator for visually impaired people preliminary user study

Estimation of Power Consumption of Each Application Considering Software Dependency in Android

BET Estimation on Power Saving by Intermittent Disabling Network Interface on Android

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